We describe a novel variational segmentation algorithm designed to split an image in two regions based on their intensity distributions. A functional is proposed to integrate the ...
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
We investigate the properties of a metric between two distributions, the Earth Mover's Distance (EMD), for content-based image retrieval. The EMD is based on the minimal cost ...
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
The Lagrangian multiplier based rate-distortion optimization has been proved to be an effective way in hybrid video coding. In this paper, an advanced Lagrange multiplier selectio...
Xiang Li, Norbert Oertel, Andreas Hutter, Andr&eac...